Mr Zhili Zheng
Postdoctoral Research Fellow
Institute for Molecular Bioscience
+61 7 334 62627
Publications
Journal Articles
Xue, Angli, Wu, Yang, Zhu, Zhihong, Zhang, Futao, Kemper, Kathryn E., Zheng, Zhili, Yengo, Loic, Lloyd-Jones, Luke R., Sidorenko, Julia, Wu, Yeda, eQTLGen Consortium, McRae, Allan F., Visscher, Peter M., Zeng, Jian and Yang, Jian (2018) Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications, 9 1: 2941. doi:10.1038/s41467-018-04951-w
Lee, James J., Wedow, Robbee, Okbay, Aysu, Kong, Edward, Maghzian, Omeed, Zacher, Meghan, Nguyen-Viet, Tuan Anh, Bowers, Peter, Sidorenko, Julia, Karlsson Linnér, Richard, Fontana, Mark Alan, Kundu, Tushar, Lee, Chanwook, Li, Hui, Li, Ruoxi, Royer, Rebecca, Timshel, Pascal N., Walters, Raymond K., Willoughby, Emily A., Yengo, Loïc, 23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Alver, Maris, Bao, Yanchun, Clark, David W., Day, Felix R., Furlotte, Nicholas A., Joshi, Peter K., Kemper, Kathryn E., Kleinman, Aaron, Langenberg, Claudia, Mägi, Reedik, Trampush, Joey W., Verma, Shefali Setia, Wu, Yang, Lam, Max, Zhao, Jing Hua, Zheng, Zhili, Boardman, Jason D, Campbell, Harry, Freese, Jeremy, Harris, Kathleen Mullan, Hayward, Caroline, Herd, Pamela, Kumari, Meena, Lencz, Todd, Luan, Jian'an, Malhotra, Anil K., Metspalu, Andres, Milani, Lili, Ong, Ken K., Perry, John R. B., Porteous, David J., Ritchie, Marylyn D., Smart, Melissa C., Smith, Blair H., Tung, Joyce Y., Wareham, Nicholas J., Wilson, James F., Beauchamp, Jonathan P., Conley, Dalton C., Esko, Tõnu, Lehrer, Steven F., Magnusson, Patrik K. E., Oskarsson, Sven, Pers, Tune H., Robinson, Matthew R., Thom, Kevin, Watson, Chelsea, Chabris, Christopher F., Meyer, Michelle N., Laibson, David I., Yang, Jian, Johannesson, Magnus, Koellinger, Philipp D., Turley, Patrick, Visscher, Peter M., Benjamin, Daniel J. and Cesarini, David (2018) Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, . doi:10.1038/s41588-018-0147-3
Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Whitfield, John B., Streit, Fabian, Gordon, Scott, Kemper, Kathryn E., Yengo, Loic, Zheng, Zhili, Trzaskowski, Maciej, de Zeeuw, Eveline L., Nivard, Michel G., Das, Marjolijn, Neale, Rachel E., MacGregor, Stuart, Olsen, Catherine M., Whiteman, David C., Boomsma, Dorret I., Yang, Jian, Rietschel, Marcella, McGrath, John J., Medland, Sarah E. and Martin, Nicholas G. (2018) Association between population density and genetic risk for schizophrenia. JAMA Psychiatry, . doi:10.1001/jamapsychiatry.2018.1581
Qi, Ting, Wu, Yang, Zeng, Jian, Zhang, Futao, Xue, Angli, Jiang, Longda, Zhu, Zhihong, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, eQTLGen Consortium, Marioni, Riccardo E., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2018) Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications, 9 1: 2282. doi:10.1038/s41467-018-04558-1
Guo, Jing, Wu, Yang, Zhu, Zhihong, Zheng, Zhili, Trzaskowski, Maciej, Zeng, Jian, Robinson, Matthew R., Visscher, Peter M. and Yang, Jian (2018) Global genetic differentiation of complex traits shaped by natural selection in humans. Nature Communications, 9 1: 1865. doi:10.1038/s41467-018-04191-y
Wu, Yang, Zeng, Jian, Zhang, Futao, Zhu, Zhihong, Qi, Ting, Zheng, Zhili, Lloyd-Jones, Luke R., Marioni, Riccardo E., Martin, Nicholas G., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2018) Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications, 9 918: . doi:10.1038/s41467-018-03371-0
Zhu, Zhihong, Zheng, Zhili, Zhang, Futao, Wu, Yang, Trzaskowski, Maciej, Maier, Robert, Robinson, Matthew R., McGrath, John J, Visscher, Peter M, Wray, Naomi R and Yang, Jian (2018) Causal associations between risk factors and common diseases inferred from GWAS summary data. Nature Communications, 9 1: . doi:10.1038/s41467-017-02317-2